betatron tune measurement 1deep learning 1real-time diagnostics 1schottky spectra 1signal processing 1
From the 1 of 3 linked papers with an AI index.
3 papers
physics.acc-ph2026
Robust Betatron-Tune Measurement from Schottky Spectra: Complementary Classical and Deep-Learning Paradigms
Peihan Sun, Manzhou Zhang, Renxian Yuan +2
The paper presents two methods—a classical matched‑filter approach and a deep‑learning CNN with Bayesian tracking—to measure betatron tune from noisy Schottky spectra in medical pr…
physics.acc-ph2025
Real-Time-Capable Betatron Tune Measurement from Schottky Spectra Using Deep Learning and Uncertainty-Aware Kalman Filtering
Peihan Sun, Manzhou Zhang, Renxian Yuan +3
Betatron tune measurement is essential for beam control in compact proton-therapy synchrotrons, yet conventional peak-detection techniques are not robust under the low signal-to-no…
physics.acc-ph2025
High-Accuracy Schottky Diagnostics for Low-SNR Betatron Tune Measurement in Ramping Synchrotrons
Peihan Sun, Manzhou Zhang, Renxian Yuan +3
This study introduces a novel real-time betatron tune measurement algorithm, utilizing Schottky signals and an FPGA-based backend architecture, specifically designed for rapidly ra…